DISPOSITIFS DE RECHERCHE-FORMATION POUR PROFESSIONNALISER LES ENSEIGNANT·E·S
Bibliographic record
Abstract
Résumé Les questions concernant les relations entre recherche et formation demeurent un enjeu majeur dans la formation des enseignant·e·s. Afin de réfléchir aux apports de la recherche, nous avons analysé les liens entre recherche et formation à partir de la mise en perspective de deux dispositifs développés en Suisse et au Québec. Ces dispositifs mobilisent des activités issues de la recherche en éducation au service du développement professionnel des enseignant·e·s et contribuent à leur entrée dans le métier dans des bonnes conditions. Dans notre perspective, ce travail permet de dresser des indications utiles pour la conception et mise en place de dispositifs adéquats en formation initiale et continue des enseignant·e·s.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.052 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.015 | 0.026 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".